Aliyun Qwen Rerank

Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting.

Category: provider

Model Studio Rerank

Validation

mkdir -p output/aliyun-qwen-rerank
python -m py_compile skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py && echo "py_compile_ok" > output/aliyun-qwen-rerank/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-rerank/validate.txt is generated.

Critical model names

Use one of these exact model strings:

• gte-rerank-v2
• gte-rerank
• gte-multilingual-rerank
• qwen3-reranker-8b
• qwen3-reranker-4b
• qwen3-reranker-0.6b

Quick start

python skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py \
  --query "cloud vector database" \
  --output output/aliyun-qwen-rerank/request.json

Notes

• Use after embedding/vector retrieval to reorder candidates.
• Prefer multilingual rerankers when query/document languages differ.

References

• references/sources.md